DescriptionThe RoleWe are building a modern cloud-native data platform on Google Cloud and looking for a hands-on Senior Data Engineer to own the transformation layer from raw source data through to analytics-ready models that power business reporting and decision-making. Our stack and processes are still evolving, so you'll help shape architecture and standards, not just inherit them.
What You'll Do- Design, build, and maintain layered data transformation pipelines in BigQuery (staging, integration, warehouse/mart models)
- Ensure pipeline reliability through automated testing, CI/CD with Git-based development workflow, scheduling, and monitoring
- Optimize cloud data warehouse performance and compute costs (partitioning, clustering, slot/usage management)
- Collaborate with analysts and BI developers to deliver trusted, well-documented data
- Contribute to platform and tooling decisions as we mature our data infrastructure
What You'll Bring- 3+ years in data engineering or analytics engineering
- Hands-on BigQuery (preferred), Snowflake, or Redshift experience in production
- Experience with a SQL-based transformation framework - Dataform or dbt Core
- Strong SQL - window functions, CTEs, complex joins, performance optimization
- Python proficiency - writing clean, reusable code for data pipelines, scripting, and automation
- Data modeling fundamentals - staging layers, dimensional modeling, fact and dimension tables
- Experience with data ingestion or CDC pipelines into a cloud warehouse
- Strong communication skills - able to explain data models, trade-offs, and pipeline issues clearly to non-technical stakeholders, including senior leadership
- An entrepreneurial, builder mindset - comfortable with ambiguity, evolving requirements, and making pragmatic decisions when the playbook doesn't exist yet
- Strong critical thinking and problem-solving - you question source data, challenge requirements, and translate ambiguous business problems into well-structured data models rather than building the ticket as written
Nice to have- Broader GCP ecosystem experience: Cloud Composer/Airflow, Dataflow, Pub/Sub, GCS, Datastream
- E-commerce or grocery/retail domain experience
- Familiarity with marketing analytics data such as campaign, CRM, clickstream, or event-tracking data (e.g., Braze, Mixpanel, GA4)
- Experience with a BI tool (Power BI, Tableau, Looker)
- Data quality and observability tooling
Salary$140,000-$150,000Total Rewards & Benefits• Competitive compensation and comprehensive benefits
• PTO, Safe & Sick Time, and Paid Holidays
• Medical, Vision, Dental, and Voluntary Disability coverage
• 401(k) with employer match and Life Insurance
• State-of-the-art Bronx campus with on-site basketball court, cafeteria, and employee market
• Onsite FREE parking
• FREE employee shuttle bus service from nearby Subway station
• Training, leadership development, and tuition discount at local colleges
• 20% employee discount on FreshDirect online orders and Brooklyn wine store
• Minimum 50% employee discount at our onsite employee market
• Mobile phone discounts through partnerships with T-Mobile and Verizon
• Gym membership discounts through NYSC
Our CultureWe embrace an in-office culture, composed of individuals who thrive on the collaboration and energy that comes from working together in a shared space. We are looking for people who excel in this environment, where physical presence enhances connections and engagement. At FreshDirect, we've created an environment that thrives on teamwork, where associates can innovate, grow, and have successful careers. Many of our leaders have successfully come up through our ranks. Because of our team's extraordinary efforts, we are a leading innovator in the e-commerce and grocery industries.
The above statements are intended to describe the general nature and level of work being performed by the Team member(s) assigned to this position. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required of individuals in this position. Position expectations may be subject to change as the needs of the organization changes.
